Estimating and Examining the Sensitivity of Different Vegetation Indices to Fractions of Vegetation Cover at Different Scaling Grids for Early Stage Acacia Plantation Forests Using a Fixed-Wing UAS

Estimating fractional cover of tundra vegetation at multiple scales using unmanned aerial systems and optical satellite data

(2019) Henri Riihimäki et al.   REMOTE SENSING OF ENVIRONMENT

Estimation of Forest Structural Attributes Using Spectral Indices and Point Clouds from UAS-Based Multispectral and RGB Imageries

(2019) Xin Shen et al.   Remote Sensing

Global MODIS Fraction of Green Vegetation Cover for Monitoring Abrupt and Gradual Vegetation Changes

(2018) Federico Filipponi et al.   Remote Sensing

Visualizing the Spatiotemporal Trends of Thermal Characteristics in a Peatland Plantation Forest in Indonesia: Pilot Test Using Unmanned Aerial Systems (UASs)

(2018) Kotaro Iizuka et al.   Remote Sensing

Remote sensing of surface water quality in relation to catchment condition in Zimbabwe

(2017) Mhosisi Masocha et al.   PHYSICS AND CHEMISTRY OF THE EARTH

REDD+: Quick Assessment of Deforestation Risk Based on Available Data

(2017) Giulio Di Lallo et al.   Forests

Estimating Tree Height and Diameter at Breast Height (DBH) from Digital Surface Models and Orthophotos Obtained with an Unmanned Aerial System for a Japanese Cypress (Chamaecyparis obtusa) Forest

(2017) Kotaro Iizuka et al.   Remote Sensing

Circumpolar Arctic vegetation: a hierarchic review and roadmap toward an internationally consistent approach to survey, archive and classify tundra plot data

(2016) D A Walker et al.   Environmental Research Letters

A new global tree-cover percentage map using MODIS data

(2016) Toshiyuki Kobayashi et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Improving estimates of fractional vegetation cover based on UAV in alpine grassland on the Qinghai–Tibetan Plateau

(2016) Jianjun Chen et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Fractional vegetation cover estimation algorithm for Chinese GF-1 wide field view data

(2016) Kun Jia et al.   REMOTE SENSING OF ENVIRONMENT

Comparison of Four Machine Learning Methods for Generating the GLASS Fractional Vegetation Cover Product from MODIS Data

(2016) Linqing Yang et al.   Remote Sensing

Remote Estimation of Vegetation Fraction and Flower Fraction in Oilseed Rape with Unmanned Aerial Vehicle Data

(2016) Shenghui Fang et al.   Remote Sensing

Detection and Characterization of Low Temperature Peat Fires during the 2015 Fire Catastrophe in Indonesia Using a New High-Sensitivity Fire Monitoring Satellite Sensor (FireBird)

(2016) Elizabeth C. Atwood et al.   PLoS One

Estimation of CO2 Sequestration by the Forests in Japan by Discriminating Precise Tree Age Category using Remote Sensing Techniques

(2015) Kotaro Iizuka et al.   Remote Sensing

Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data

(2012) Xianfeng Zhang et al.   International Journal of Applied Earth Observation and Geoinformation

An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds

(2012) Darren Turner et al.   Remote Sensing

Monitoring responses of forest to climate variations by MODIS NDVI: a case study of Hun River upstream, northeastern China

(2011) J. Yao et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

Broadband, red-edge information from satellites improves early stress detection in a New Mexico conifer woodland

(2011) Jan U.H. Eitel et al.   REMOTE SENSING OF ENVIRONMENT

Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3

(2011) Jochem Verrelst et al.   REMOTE SENSING OF ENVIRONMENT

Monitoring urbanization in mega cities from space

(2011) H. Taubenböck et al.   REMOTE SENSING OF ENVIRONMENT

Urbanization and its implications for food and farming

(2010) D. Satterthwaite et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

A comparative study of radiometric correction methods for optical remote sensing imagery: the IRC vs. other image‐based C‐correction methods

(2008) S. Kobayashi§ et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING